Brain Networks and Learning

I am a CNRS research director in cognitive computational neuroscience and I coordinate the BraiNets team at the Institut de Neurosciences de la Timone.

Research Interests

I study the role of neural interactions in learning and adaptive behaviors across scales. I use a systems science approach intergrating:

• Information theoretical methods for the analysis of brain signals and network interactions
• Multimodal and multiscale brain imaging and neurophysiology (MUA, intracranial EEG, LFP, MEG and fMRI)
• Computational models of human learning (reinforcement learning and Bayesian learning models)

Publications

Publications and citation record are on Google Scholar

Software

At BraiNets, we develop and share several software for brain data analysis here. Some examples are:

• Frites toolbox: Framework for Information Theoretical analysis of Electrophysiological data and Statistics
• HOI toolbox: Higher-Order Interactions